最近幾十年里,已經(jīng)發(fā)展了用于處理以許多工具變量為特征的工具變量回歸的計量經(jīng)濟(jì)學(xué)工具。我們引入一個命令mivreg,它使用許多(可能是弱的)工具變量在線性工具變量回歸中實現(xiàn)一致的估計和檢驗。mivreg涵蓋了同方差和異方差環(huán)境,對誤差非正態(tài)性和投影矩陣極限具有非穩(wěn)健和穩(wěn)健的估計量,以及無論修正矩是否存在的參數(shù)檢驗和設(shè)定檢驗。我們還使用mivreg運(yùn)行了一個小型模擬實驗,并演示了mivreg如何與真實數(shù)據(jù)一起工作。
Many instruments: Implementation in StataStanislav Anatolyev (sanatoly@nes.ru) and Alena Skolkova (alena.skolkova@cerge-ei.cz)
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Stata Journal, 2019, vol. 19, issue 4, 849-866
Abstract: In recent decades, econometric tools for handling instrumental-variable regressions characterized by many instruments have been developed. We introduce a command, mivreg, that implements consistent estimation and testing in linear instrumental-variables regressions with many (possibly weak) instruments. mivreg covers both homoskedastic and heteroskedastic environments, estimators that are both nonrobust and robust to error nonnormality and projection matrix limit, and parameter tests and specification tests both with and without correction for existence of moments. We also run a small simulation experiment using mivreg and illustrate how mivreg works with real data.